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Tariq Daouda

Observed names: DAOUDA Tariq, Daouda, Tariq, T. Daouda
Observed institutions: Broad Institute, Harvard University, Massachusetts General Hospital, Institute for Research in Immunology and Cancer, Université Mohammed VI Polytechnique, Université de Montréal
ORCID: 0000-0001-7086-8321
Observed ORCID: 0000-0001-7086-8321
OpenAlex ID: A5083627689
Global proteogenomic analysis of human MHC class I-associated peptides derived from non-canonical reading frames
2016 · Céline M. Laumont, Tariq Daouda, et al. · Nature Communications · 281
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MHC class I–associated peptides derive from selective regions of the human genome
2016 · Hillary Pearson, Tariq Daouda, et al. · Journal of Clinical Investigation · 194
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Impact of genomic polymorphisms on the repertoire of human MHC class I-associated peptides
2014 · Diana Paola Granados, Dev Sriranganadane, et al. · Nature Communications · 109
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MHC I–associated peptides preferentially derive from transcripts bearing miRNA response elements
2012 · Diana Paola Granados, Wafaa Yahyaoui, et al. · Blood · 70
Therapeutic potential of snake venom: Toxin distribution and opportunities in deep learning for novel drug discovery
2023 · Anas Bedraoui, Montamas Suntravat, et al. · Medicine in Drug Discovery · 31
Detection of Quiescent Radioresistant Epithelial Progenitors in the Adult Thymus
2017 · Maude Dumont-Lagacé, Hervé Gerbe, et al. · Frontiers in Immunology · 22
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MAPDP: A Cloud-Based Computational Platform for Immunopeptidomics Analyses
2020 · Mathieu Courcelles, Chantal Durette, et al. · Journal of Proteome Research · 19
pyGeno: A Python package for precision medicine and proteogenomics
2016 · Tariq Daouda, Claude Perreault, et al. · F1000Research · 19
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Qualitative Changes in Cortical Thymic Epithelial Cells Drive Postpartum Thymic Regeneration
2020 · Maude Dumont-Lagacé, Tariq Daouda, et al. · Frontiers in Immunology · 17
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Decision Tree for Tracking Learner’s Emotional State Predicted from His Electrical Brain Activity
2008 · Alicia Heraz, Tariq Daouda, et al. · Lecture notes in computer science · 7
Misclassified: identification of zoonotic transition biomarker candidates for influenza A viruses using deep neural network
2023 · Nissrine Hatibi, Maude Dumont-Lagacé, et al. · Frontiers in Genetics · 6
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Geodesics in fibered latent spaces: A geometric approach to learning correspondences between conditions
2020 · Daouda, Tariq, Chhaibi, Reda, et al. · arXiv (Cornell University) · 4
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Lrrc15, a Potential Key Player in Cartilage Ossification in Osteoarthritis Disease
2024 · Y. Hamdan, A. Bedraoui, et al. · Osteoarthritis Imaging · 3
Free Probability for Predicting the Performance of Feed-Forward Fully Connected Neural Networks
2022 · Reda Chhaibi, Tariq Daouda, et al. · neural information processing systems · 3
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CAMAP: Artificial neural networks unveil the role of codon arrangement in modulating MHC-I peptides presentation
2021 · Tariq Daouda, Maude Dumont-Lagacé, et al. · PLoS Computational Biology · 3
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Precision medicine in Morocco: State of art and challenges for implementation
2025 · Meriem Khyatti, Fouzia Radouani, et al. · Journal of Cancer Policy · 2
CAMAP: Artificial neural networks unveil the role of codon arrangement in modulating MHC-I peptides presentation
2020 · Tariq Daouda, Maude Dumont-Lagacé, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 2
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Bioinformatics-Guided Identification and Quantification of Biomarkers of Crotalus atrox Envenoming and Its Neutralization by Antivenom
2025 · Auwal A. Bala, Anas Bedraoui, et al. · Molecular & Cellular Proteomics · 1
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The convergence of artificial intelligence in toxinology and venomics
2024 · Anas Bedraoui, Salim El Mejjad, et al. · Toxicon · 1
Holographic Neural Architectures
2018 · Daouda, Tariq, Zumer, Jeremie, et al. · arXiv (Cornell University) · 1
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pyGeno: a Python Package for Precision Medicine (1.2.6)
2016 · Daouda, Tariq · Zenodo (CERN European Organization for Nuclear Research) · 1
scDisentangle: sequential disentanglement for single-cell perturbation response prediction
2026 · Salim El Mejjad, Salwa Enezari, et al. · bioRxiv (Cold Spring Harbor Laboratory)
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Preprocessed Norman (2019) Perturb-seq dataset for scDisentangle
2026 · El Mejjad, Salim, Enezari, Salwa, et al. · Zenodo (CERN European Organization for Nuclear Research)
Pretrained scDisentangle model weights for the tutorial examples (Kang, Liver, Norman)
2026 · El mejjad, Salim, Enezari, Salwa, et al. · Zenodo (CERN European Organization for Nuclear Research)
Neurotox: Deep learning decodes conserved hallmarks of neurotoxicity across venomous species
2026 · Anas Bedraoui, Salim El Mejjad, et al. · bioRxiv (Cold Spring Harbor Laboratory)
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Works count: 35
Citation count: 796
H-index: 9
I10-index: 9
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